Financial institutions are turning to artificial intelligence (AI) to automate manual processes, emulate human decisions, and improve the accuracy of surveillance strategies. Given the sophistication of fraud attacks and ever increasing regulatory scrutiny, firms are implementing advanced analytical approaches to be more agile, effective, and efficient.

Procurement fraud is prevalent. How can you thwart an attack? How can you prevent some of the most common themes like collusion and false claims?

Listen to our experts as they take a high-level approach to explaining the disruption to global businesses and how all industries are susceptible. You’ll learn about specific problems and how analytics provides answers.

Join Trina Gladwell, Divisional Vice President of Merchandise Process at Bealls Inc., and Sathish Gangichetty, Senior Solutions Architect at SAS, as they discuss why putting deeply insightful analytics into action in real time is crucial for great customer experiences.

This webinar highlights the key take-aways for the retail and consumer packaged goods industries of a major multi-year global research study sponsored by SAS, which is conducted by MIT Sloan Management Review.

This most recent study uncovers key factors of business-driven innovation, including cultural and process factors, the pivotal role of data governance, and burgeoning opportunities with machine learning and artificial intelligence.

Presenters:
•David Kiron, Senior Editor at MIT Sloan Management Review summarizes the research findings.
•Dan Mitchell, Director of the Global Retail and CPG Practice at SAS, spotlights some of the biggest take-aways for the retail and consumer packaged goods industries from the MIT research.

As a marketer, you're charged with delivering the right message to the right audience at the right time - without wasting budget. It's a tall order, but data and analytics have helped top companies achieve the optimal balance. Tune in to this webinar to hear Corios President Robin Way and SAS Principal Solutions Architect Noah Powers share optimization lessons from retail, hospitality and financial services that you can apply to your own business to boost your marketing ROI.

Buzzwords can be daunting. Take artificial intelligence – everyone's talking about it, so you feel like if you're not using it to further your business goals, you're falling behind. The good news is the real action around AI is happening now through advancements in analytics – faster computing, more complex algorithms and intelligent analytical output. But, because computers don’t understand strategy, human integrity is needed to identify and implement your organization’s vision for embracing AI. In this webinar, join Intel and SAS for a discussion on what’s needed to enable AI and what industry use cases can support development of your strategy.

On this webcast, participants will hear from industry experts as they discuss Artificial Intelligence and Machine Learning applications for Supply Chain. Participants will learn:
•How will machine learning and artificial intelligence transform the supply chain of the future?
•Where are various industries in its adoption?
•What business domains within supply chain will have greater opportunities to impact the bottom line?
•What are the challenges and implications to automation in supply chain process with artificial intelligence learning? Is the business domains ready for such transformation?
•How can organizations get started on this journey for an artificial intelligence supply chain?

On this webcast, participants will hear from industry experts as they discuss Demand Planning applications for Omnichannel Analytics. Participants will learn:
•How is omnichannel complicating the demand forecasting and planning process?
•What data requirements will be needed, or expanded to support omnichannel demand planning?
•Will it require different analytics to predict demand across the omnichannel?
•Will Demand Signal Repositories (DSA’s) play role in supporting omnichannel demand planning?
•Do you see any solutions to improve forecasting for the omnichannel?

In this webinar, we dive deeper into analytics and talk about the advantages of data exploration and predictive modeling. We’ll also show attendees how to fine-tune the accuracy and precision of those analytic models so you can make critical decisions with confidence.

In this webinar, you will learn how to use SAS to enhance the security, reporting and analytical capabilities of Microsoft Office while eliminating any data size restrictions. Regardless of your skill level, you will be able to harness the power of SAS from the Microsoft Office environment and take it from good to great!

During the webinar attendees will see how they can use Microsoft Office to:

Analytics continues to be identified as a key competitive differentiator for businesses across all industries. Analytics drives better decision making through the application of a diverse set of techniques to uncover meaningful information and trends from data. Many small to mid-size companies have the potential to benefit from analytics, but aren't sure where to begin. In this webinar, will discuss:

R and Python are used by many data scientists, often bringing together teams with varied backgrounds and experiences to solve complex problems in new ways. But R and Python often lack the scalability, governance and support needed for enterprise analytics deployment. In this webinar, you'll see a demo on how SAS integrates with R and Python to increase productivity, value, maturity, and scalability of your data science efforts. Key takeaways:

• How to use R and Python with SAS while meeting statistical analysis requirements within your organization and with external regulatory agencies.
• How SAS offers the scalability, governance and support organizations require for production and operational analytics.
• When and how SAS is used with R and Python.

John Brandt, CEO of the MPI group and Marcia Walker, Principal Consultant, SAS

A majority of manufacturers in MPI’s recent survey are now making money off the IoT – a big change from just two years ago. But challenges remain. Many decision makers can’t access essential data: They can’t always get what they want. This growing digital divide means that improvements in operations, supply chain, logistics, and customer service are being delayed for some while others are benefiting. Webinar attendees will learn how their manufacturing peers benefit from IoT data today, what solutions, such as streaming analytics, are gaining traction, and where early adopters are seeing success.

Learn how automotive manufacturers can take advantage of connected vehicle innovation, data management and analytical opportunities supporting these strategies - webinar from SAS and Bosch.

By 2030, market estimates from McKinsey & Company indicate the automotive revenue pool could grow by $1.5 trillion stemming from shared mobility, connectivity services and feature upgrades to vehicles. Driven by these potential gains, automotive companies are racing to find ways to define and claim their role with new business models.

Yet, what is possible for automotive companies to achieve now given the availability of accessible driver and vehicle information? How can innovation teams take advantage of near-term opportunities that propel both current and future projects enabled by connected vehicle, mobility and on-demand services? How can companies start “doing” work around these emerging opportunities?

During the webinar you will learn about:
•Business development opportunities tied to connected vehicle and mobility strategies that ultimately allow for data monetization.
•Technology that allows OEMs and other organizations to draw out complex vehicle data before using it for analytical initiatives.
•A framework that helps organizations leverage predictive analytics, streaming and real-time information to improve business outcomes as well as customer experiences

Nearly 70 percent of business data contains some level of location information. But business analysts rarely use this data within their BI and analytics workflows.

Location analytics is more than just putting points on a map. It’s part of a much larger picture of using location to provide context in visualizations, reports and analytics. Utilizing geographic data in descriptive and predictive analytics helps companies discover new patterns, identify location-specific opportunities, and get a complete picture before making business decisions.

In this webinar, Esri and SAS discuss the role that location analytics can play in determining practical next steps for your organization. A product demonstration will be shown as well.

We’ll answer:
• How does location analytics add value to BI and analytics initiatives?
• What are the right uses for location analytics?
• What pitfalls should organizations consider as they implement processes and technology for analyzing geographic data?
• Are special skill sets required to use location information?
• How can organizations best develop a strategy for using geographic data?

Join SAS experts for this webinar and demo and learn how to take your workforce analytics from good to great. Learn how to put data-driven decisions within everyone’s reach when you empower your HR department with advanced (yet easy-to-use) SAS® analytics, BI and data visualization.

In today's organizations, you need to get relevant data quickly to drive faster business decisions. With big data, sometimes that's easier said than done.

SAS® Business Intelligence offers predictive insights with the ability to understand the past, monitor the present and predict outcomes, no matter the size or complexity of your data. In fact, SAS helps you deliver accurate, valuable information – from Hadoop or any other big data source.

One of the key components of SAS Business Intelligence, SAS Visual Analytics, offers self-service data discovery, enabling even nontechnical business users to explore billions of rows of data in seconds. With this tool, you can discover more opportunities and make more precise decisions, easily publishing reports to the Web and mobile devices.